This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
Abstract: Segmentation of running data into gait cycles and stance/swing phases is crucial for evaluating running biomechanics. The benefit of magneto-inertial sensors is their ability to capture data ...
Abstract: This article presents an embedded common-mode filter (CMF) for the Mobile Industry Processor Interface C-PHY signaling standard and proposes a definition of mixed-mode scattering parameters ...
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